AI Software Product Marketing Manager

Advanced Micro Devices, Inc•San Jose, CA

2d•Hybrid

About The Position

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. AMD Artificial Intelligence Group is seeking a Product Marketing Manager (level flexible from junior to senior) to own go-to-market strategy and messaging for AMD AI software portfolio across cloud to client, including AMD ROCm™ software and AMD Ryzen™ AI Software. This role sits at the intersection of AI software and marketing: you’ll be technical enough to understand developer needs and the AMD AI software ecosystem, and strategic enough to craft compelling narratives that drive adoption, preference, and market share. You will partner closely with ROCm and Ryzen AI product management, as well as corporate marketing, to align on the overall AMD AI software message and execute integrated launches and campaigns. We’re seeking a dynamic and strategic Product Marketing Manager to lead the development and execution of comprehensive marketing strategies for our AI product portfolio. The role will drive market share growth, continue to establish AMD as the leader of AI technology, and shape the future of AI computing.

Requirements

Several years in product marketing or product management for AI/ML, GPU/NPU compute, or developer platforms; level/title will be aligned to experience.
Familiarity with AI frameworks and tooling (PyTorch, TensorFlow, ONNX Runtime, Triton), GPU/NPU programming concepts, model optimization, and performance benchmarking.
Understanding of ROCm components (HIP, rocBLAS, MIOpen, RCCL) and client-side AI stacks (Ryzen AI Software, NPU acceleration, SDKs, runtime integrations); ability to grasp compilers, kernels, drivers, and containerized workflows.
Experience creating technical marketing assets for developer audiences and translating complex concepts into clear business value and outcomes.
Proven success driving go-to-market for software releases and developer adoption through content, campaigns, and ecosystem partnerships.
Strong analytical skills; comfortable setting metrics and using data to refine positioning and programs.
Excellent storytelling, writing, and presentation skills; able to tailor messages to developers, decision-makers, and field teams.
Bachelor's degree in engineering, Computer Science, or a related field.

Nice To Haves

Open-source community engagement, Windows and Linux developer workflows, and migration/porting narratives from CUDA or other stacks.

Responsibilities

Build and maintain AMD AI software positioning and message house across cloud-to-client, including value propositions, proof points, and competitive differentiation.
Plan and execute go-to-market for ROCm and Ryzen AI Software releases and features, including launch plans, content, and enablement.
Create developer-focused content: solution briefs, user guides, tutorials, demos, blogs, webinars, and field enablement materials
Partner with corporate marketing to drive integrated campaigns across web, social, events, and PR; ensure a consistent AMD AI software narrative in AMD-wide messaging.
Collaborate with ROCm and Ryzen AI product management and engineering to translate roadmap and technical milestones into clear customer benefits and adoption plays.
Lead developer marketing motions: highlight framework compatibility, NPU/GPU acceleration, and ecosystem integrations.
Own web presence and content quality for AMD AI software in partnership with web, technical marketing, and documentation teams; ensure accuracy, clarity, and discoverability.
Conduct competitive and market analysis (e.g., CUDA ecosystem, AI PC/NPU stacks, tooling, performance positioning) and convert insights into actionable plans.
Enable sales and field teams with messaging, talk tracks, and objection handling.